Transfer learning for radio frequency machine learning: a taxonomy and survey
LJ Wong, AJ Michaels - Sensors, 2022 - mdpi.com
Transfer learning is a pervasive technology in computer vision and natural language
processing fields, yielding exponential performance improvements by leveraging prior …
processing fields, yielding exponential performance improvements by leveraging prior …
[HTML][HTML] A comprehensive survey on deep learning-based LoRa radio frequency fingerprinting identification
LoRa enables long-range communication for Internet of Things (IoT) devices, especially
those with limited resources and low power requirements. Consequently, LoRa has …
those with limited resources and low power requirements. Consequently, LoRa has …
SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices
R Vijayakanthan, I Ahmed, A Ali-Gombe - Computers & Security, 2023 - Elsevier
The increasing sophistication in computing capability and sensing technologies have
continued to drive the design, development, and growth of the smart technologies commonly …
continued to drive the design, development, and growth of the smart technologies commonly …
An Analysis of Radio Frequency Transfer Learning Behavior
Transfer learning (TL) techniques, which leverage prior knowledge gained from data with
different distributions to achieve higher performance and reduced training time, are often …
different distributions to achieve higher performance and reduced training time, are often …
[HTML][HTML] Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation
The use of transfer learning (TL) techniques has become common practice in fields such as
computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge …
computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge …
An analysis of RF transfer learning behavior using synthetic data
Transfer learning (TL) techniques, which leverage prior knowledge gained from data with
different distributions to achieve higher performance and reduced training time, are often …
different distributions to achieve higher performance and reduced training time, are often …
Assessing the value of transfer learning metrics for RF domain adaptation
The use of transfer learning (TL) techniques has become common practice in fields such as
computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge …
computer vision (CV) and natural language processing (NLP). Leveraging prior knowledge …